{"id":"W1993439542","doi":"10.1118/1.2244664","title":"Po‐Thur Eve General‐37: Preliminary Analysis of a Cobalt‐60 Beam Under a MIMiC","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Cancer Care South East","funders":"","keywords":"Tomotherapy; Medical physics; Collimator; Dosimetry; Context (archaeology); Nuclear medicine; Linear particle accelerator; Multileaf collimator; Medicine; Beam (structure); Radiation therapy; Radiology; Radiation treatment planning; Physics; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003170257,0.0002110047,0.0003075759,0.0006704387,0.0005516112,0.00088072,0.0005009155,0.000475672,0.007419136],"category_scores_gemma":[0.0005540646,0.0001749998,0.0003136272,0.00067305,0.0003477892,0.0003887982,0.0003854676,0.0002575488,0.001830804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009410497,"about_ca_system_score_gemma":0.0006865266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007215528,"about_ca_topic_score_gemma":0.008351967,"domain_scores_codex":[0.9995168,0.00002653198,0.00001175563,0.00007362675,0.0003151053,0.00005601003],"domain_scores_gemma":[0.9997923,0.00003429308,0.00002049605,0.0000368228,0.00008233129,0.00003373286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003621475,0.0005711857,0.0746993,0.0007023018,0.0001159723,0.003989012,0.0007544395,0.02917273,0.7353407,0.008565666,0.009095107,0.1333722],"study_design_scores_gemma":[0.0001136741,0.004229299,0.1806419,0.00005330515,0.0002336966,0.002790614,0.0006039124,0.05385035,0.6033702,0.001608051,0.1523958,0.000109142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157047,0.0008407799,0.01376293,0.0002050214,0.00007513505,0.0003180895,0.002104736,0.0006162354,0.06637234],"genre_scores_gemma":[0.9628978,0.000414407,0.004873947,0.00007582257,0.00001272915,0.00003858504,0.002220323,0.0002219997,0.0292443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007419136,"threshold_uncertainty_score":0.02481949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007887501894465644,"score_gpt":0.2768215640697387,"score_spread":0.2689340621752731,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}